Add RTF for TTS models (#690)

docs/source/onnx/tts/pretrained_models/index.rst

@@ -14,5 +14,6 @@ This page list pre-trained models for text-to-speech.
 .. toctree::
    :maxdepth: 5
 
+   ./rtf
    ./matcha
    ./vits

docs/source/onnx/tts/pretrained_models/matcha.rst

@@ -166,6 +166,8 @@ Generate speech with Python script
     </tr>
   </table>
 
+.. _matcha-icefall-zh-baker:
+
 matcha-icefall-zh-baker (Chinese, 1 female speaker)
 ---------------------------------------------------
 
@@ -368,3 +370,32 @@ After running, it will generate a file ``matcha-baker-zh-2.wav`` in the current
       </td>
     </tr>
   </table>
+
+RTF on Raspberry Pi 4 Model B Rev 1.5
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+We use the following command to test the RTF of this model on Raspberry Pi 4 Model B Rev 1.5:
+
+.. code-block:: bash
+
+
+   for t in 1 2 3 4; do
+    build/bin/sherpa-onnx-offline-tts \
+      --num-threads=$t \
+      --matcha-acoustic-model=./matcha-icefall-zh-baker/model-steps-3.onnx \
+      --matcha-vocoder=./hifigan_v2.onnx \
+      --matcha-lexicon=./matcha-icefall-zh-baker/lexicon.txt \
+      --matcha-tokens=./matcha-icefall-zh-baker/tokens.txt \
+      --matcha-dict-dir=./matcha-icefall-zh-baker/dict \
+      --output-filename=./matcha-baker-0.wav \
+      "当夜幕降临，星光点点，伴随着微风拂面，我在静谧中感受着时光的流转，思念如涟漪荡漾，梦境如画卷展开，我与自然融为一体，沉静在这片宁静的美丽之中，感受 着生命的奇迹与温柔."
+   done
+
+The results are given below:
+
+  +-------------+-------+-------+-------+-------+
+  | num_threads | 1     | 2     | 3     | 4     |
+  +=============+=======+=======+=======+=======+
+  | RTF         | 0.892 | 0.536 | 0.432 | 0.391 |
+  +-------------+-------+-------+-------+-------+
+

docs/source/onnx/tts/pretrained_models/rtf.rst

@@ -0,0 +1,94 @@
+RTF of pre-trained models
+==========================
+
+The following table lists the RTF of pre-trained models on
+``Raspberry Pi 4 Model B Rev 1.5``.
+
+.. list-table::
+
+ * - Number of threads
+   - 1
+   - 2
+   - 3
+   - 4
+   -
+ * - :ref:`vits-melo-tts-zh_en`
+   - 6.727
+   - 3.877
+   - 2.914
+   - 2.518
+   - 163 MB
+ * - :ref:`vits-piper-en_US-glados`
+   - 0.812
+   - 0.480
+   - 0.391
+   - 0.349
+   - 61 MB
+ * - :ref:`vits-piper-en_US-libritts_r-medium`
+   - 0.790
+   - 0.493
+   - 0.392
+   - 0.357
+   - 75 MB
+ * - :ref:`vits-model-vits-ljspeech`
+   - 6.057
+   - 3.517
+   - 2.535
+   - 2.206
+   - 109 MB
+ * - :ref:`vits-model-vits-vctk`
+   - 6.079
+   - 3.483
+   - 2.537
+   - 2.226
+   - 116 MB
+ * - :ref:`sherpa-onnx-vits-zh-ll`
+   - 4.275
+   - 2.494
+   - 1.840
+   - 1.593
+   - 116 MB
+ * - :ref:`vits-zh-hf-fanchen-C`
+   - 4.306
+   - 2.451
+   - 1.846
+   - 1.600
+   - 116 MB
+ * - :ref:`vits-zh-hf-fanchen-wnj`
+   - 4.276
+   - 2.505
+   - 1.827
+   - 1.608
+   - 116 MB
+ * - :ref:`vits-zh-hf-theresa`
+   - 6.032
+   - 3.448
+   - 2.566
+   - 2.210
+   - 117 MB
+ * - :ref:`vits-zh-hf-eula`
+   - 6.011
+   - 3.473
+   - 2.537
+   - 2.231
+   - 117 MB
+ * - :ref:`vits-model-aishell3`
+   - 0.365
+   - 0.220
+   - 0.171
+   - 0.156
+   - 30 MB
+ * - :ref:`vits-model-en_US-lessac-medium`
+   - 0.774
+   - 0.482
+   - 0.390
+   - 0.357
+   - 61 MB
+ * - :ref:`matcha-icefall-zh-baker`
+   - 0.892
+   - 0.536
+   - 0.432
+   - 0.391
+   - 73 MB
+
+